AI engineering for Azure DevOps.
Within your budget. Under your rules.
Assign a work item. Get back a tested pull request.
-
Azure DevOps Boards, Repos, Pipelines -
Microsoft Foundry Your approved models -
Windows 365 for Agents Testing on Cloud PCs
Assign work to Eido, like anyone on your team. It takes it from there, and your board shows where each item is.
Your workflow, start to finish. Every item runs the same stages, each with its model and cap, and stops where your people approve.
Agents stop at every gate. Your Azure DevOps group approves; Eido never can. The cost so far is on the run.
Tested on a Windows 365 Cloud PC, with screenshots attached to the work item. Watch it live.
A pull request on Azure Repos, linked to the work item. Azure Pipelines checks it; your branch policies decide what merges.
A feedback loop on every review. Reply /lesson, your team approves the rule, and every later run follows it.
Eido is trusted by businesses around the world
“Tickets went in, tested and review-ready code came out, with our engineers approving every step that mattered. … Eido Build isn’t just another coding assistant. It’s a governed development platform that runs inside your own Microsoft environment.”
Markus AdolphManaging Partner & Co-Founder, EBF GmbH
Read what EBF builtAgentic engineering,
inside Azure DevOps.
Agents take work items from Azure Boards and hand back tested pull requests. Nothing new for your engineers to learn.
- Azure Boards Assign work to Eido
- Azure Repos Pull requests, linked to the item
- Azure Pipelines Your checks and branch policies
- Windows 365 Tested on a Cloud PC
Everything runs
in your Azure tenant.
Eido Build, the coding agents and every model, through your own Microsoft Foundry.
Azure DevOps Boards, Repos, Pipelines 
Your Azure tenant
Eido Build Runs your workflows Windows 365 for Agents Cloud PCs for testing Microsoft Foundry Hosting recorded on every call
- GPT-5
- Claude
- DeepSeek
- Llama
- Mistral
- Kimi
- Grok
- and more
- Your Azure DevOps groups approve
- Only the models you allow
- Every model call audited
A price on every work item.
And a cap it can’t cross.
Pick the model for each stage, frontier or open-weight, and pay for what each step needs.
- Cost per work item, and per stage
- Open-weight models like DeepSeek, from your Foundry
- A cap on every run, checked before every model call
Agents running 24/7, finding bugs and finding ideas
They read the systems you already run and raise evidence-backed work items on Azure Boards, ready for your team in the morning.
- Azure Repos
-
App Insights -
Sentinel -
CVE feeds -
Zendesk -
Gong -
Salesforce -
HubSpot
- Code Scanner scanning 412 filesreading top exceptionschecking tenant isolationflagging duplicate codechecking data sovereigntyreviewing code reusescanning 412 files
- Vulnerability Scanner checking dependenciesmatching new CVEslooking for XSSlooking for SQL injectionchecking OWASP Top 10reading Sentinel incidentschecking auth on API routesscanning for secretschecking dependencies
- Zendesk Scanner clustering 214 tickets
- Gong Scanner reading 34 call transcripts
- Product Researcher reading 9 forum threadsscanning r/sysadminreading 40 CRM notessearching Microsoft Q&Acomparing release notesreading 9 forum threads
- Security issue Urgent
Tenant data can leak between tenants
Bug 1534 · missing tenant filter on 3 queries · waiting on Sam
- Security issue
SQL injection in the device export filter
Bug 1533 · from your codebase · waiting on Priya
- Bug 18 tickets
Export times out above 50,000 devices
Bug 1531 · one root cause · waiting on Dan
- Enhancement 34 calls
Let customers schedule their own reports by email
User Story 1530 · 11 accounts · waiting on Maya
- Idea
Customers are asking for CSV export webhooks
User Story 1528 · 18 suggestions across 3 forums
Questions
Do our engineers have to learn a new tool?
No. Eido Build is an Azure DevOps extension, and Azure DevOps is its only interface. People assign work items, approve plans and review pull requests where they already do.
Where does it run?
In your own Azure subscription, with models from your own Microsoft Foundry and test machines from your own Windows 365. Every model call records its hosting class.
What does it cost?
From $30,000 a year, for a minimum of 50 users at $600 a user, billed once a year. A user is anyone who orchestrates tickets with Eido: developers, QA and product.
Put AI to work in Azure DevOps
Your process, your approvals and your budget come with it.